Senior Sales Engineer

At Imply, we are on a mission to help developers become the new heroes of analytics. Our unique database, built from Apache Druid, enables them to develop the next generation of analytics applications. With Imply, developers can build without constraints as our database lets them create interactive data experiences on streaming and batch data with limitless scale and at the best economics.  

Backed by leading investors including a16z and Bessemer Venture Partners, Imply is on a fast growth trajectory - disrupting the $100B database market - with customers including Pepsi, Zillow, Splunk and more. Come join our team of disruptors, pioneers, and innovators!

The Role:

You will work closely with prospects to understand their business drivers and demonstrate how Imply will add value to their analytics applications and workflows. You will be part of the account team to acquire new customers, expand relationships, and provide value realization efforts such as proof of concepts and go lives. You'll act as technical liaison and shape our product roadmap based on the needs and requirements of your customers.  

Responsibilities:

• Partner with the America account team to understand our customer's data pipeline needs, strategize on how to resolve problems, and support the sales cycles
• Clarify data modeling concepts and industry best practices for internal team members and stakeholders
• Recognize data modeling situations and articulate alternatives to prospects that allow Imply to operate fully at max performance
• Support the broader account team at a technical capacity including but not limited to setting up ETL processes, scripting with Python or Bash, configuring resources and permissions in AWS/GCP/Azure
• Maintain the technical demo environments that include data generation and infrastructure optimization
• Provide guidance for improving our product gaps or limitations

Requirements:

• You have a passion for and love big data, data schemas and high-speed analytics
• 3+ years of big data and/or streaming technology experience and 1+ years in internal/external customer-facing and hands-on roles
• Deep technical experience with distributed database and data warehouse methodologies, data modeling, and ETL tools and principles
• Experience in SQL and how different structures relate to database optimization
• Experience in at least one of the cloud environments - AWS, GCP, Azure
• Expert in at least 2 big data technologies - Kafka, Hive, Hadoop, Spark, Kinesis, Presto/Trino
• Demonstrable knowledge of at least one programming language …